{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  },
  "orig_nbformat": 4,
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.9.6 64-bit"
  },
  "interpreter": {
   "hash": "e4d85d63baa40a9854e1e91e14fde8d7f9b9a564a40f3bc91b58b47abf2bd79f"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "import matplotlib.pyplot as plt\r\n",
    "import numpy as np\r\n",
    "\r\n",
    "X = np.linspace(start=-2*np.pi, stop=2*np.pi, num=100, endpoint=True)\r\n",
    "Y = np.sin(X)\r\n",
    "plt.style.use('seaborn-whitegrid')\r\n",
    "plt.axis('equal')\r\n",
    "plt.title(\"A Sine Curve\")\r\n",
    "plt.xlabel(\"x\")\r\n",
    "plt.ylabel(\"y\")\r\n",
    "plt.plot(X, Y, label='sin(x)')\r\n",
    "plt.plot(X, np.cos(X), label=\"cos(x)\")\r\n",
    "plt.legend()\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "X = np.linspace(start=-2*np.pi, stop=2*np.pi, num=20, endpoint=True)\r\n",
    "Y = np.sin(X)\r\n",
    "plt.style.use('seaborn-whitegrid')\r\n",
    "plt.axis('equal')\r\n",
    "plt.title(\"A Sine Curve\")\r\n",
    "plt.xlabel(\"x\")\r\n",
    "plt.ylabel(\"y\")\r\n",
    "plt.plot(X, Y)\r\n",
    "plt.plot(X, Y, 'o', label='sin(x)')\r\n",
    "\r\n",
    "plt.legend()\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "X = [\"aa\", 'bb', 'cc', 'dd', 'ee', 'ff']\r\n",
    "Y = [np.random.randint(100) for i in range(len(X))]\r\n",
    "plt.style.use('seaborn-whitegrid')\r\n",
    "#plt.axis('equal')\r\n",
    "plt.title(\"A Bar \")\r\n",
    "\r\n",
    "plt.bar(X, Y)\r\n",
    "\r\n",
    "plt.legend()\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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5eXmKiqLzASCUrlvWb775pnr27KkVK1bo888/17hx4/TNb35TbrdbKSkpys3NVUlJiUaOHNlWeQGgQ7rukviBBx7Qj3/8Y0mSMUbR0dGqqKhQcnKyJCktLU1lZWWhTwkAHdx1V9ZOp1OSVF1drR/96Edyu93Kz8+Xw+FovL+qquqa+3u93iBGbX8icb5Im4l52r9ImylU8wQ8G+TTTz/V1KlTlZWVpbFjx2rFihWN9/l8Prlcrmvum5CQ0MpYwf1rc6i0bL5Im4l5woGfufav9b33BY/H0+T26x4Gqays1LPPPquf/vSnGj9+vCRpwIABKi8vlySVlpYqKSnphoIBAAK7blmvXbtWFy5c0OrVq5Wdna3s7Gy53W4VFBQoIyNDfr9f6enpbZUVADqs6x4GmTt3rubOnXvV9qKiopAFAgBcjROkAcAClDUAWICyBgALUNYAYAHKGgAsQFkDgAUoawCwAGUNABagrAHAApQ1AFiAsgYAC1DWAGAByhoALEBZA4AFKGsAsABlDQAWoKwBwAKUNQBYoFll/Y9//EPZ2dmSpGPHjikzM1NZWVnKy8tTQ0NDSAMCAJpR1q+++qrmzp2r2tpaSdLSpUvldru1adMmGWNUUlIS8pAA0NEFLOu+ffuqoKCg8XZFRYWSk5MlSWlpaSorKwtdOgCApABXN5ek9PR0ffLJJ423jTFyOBySJKfTqaqqqmvu6/V6gxCx/YrE+SJtJuZp/yJtplDNE7Cs/1dU1H8X4z6fTy6X65pfm5CQ0LpUOtzK/dpWy+aLtJmYJxz4mWv/Wt97X/B4PE1ub/HZIAMGDFB5ebkkqbS0VElJSTcUDAAQWIvLeubMmSooKFBGRob8fr/S09NDkQsA8CXNOgwSGxurLVu2SJL69eunoqKikIYCAFyJN8UAgAUoawCwAGUNABagrAHAApQ1AFiAsgYAC1DWAGAByhoALEBZA4AFKGsAsABlDQAWoKwBwAKUNQBYgLIGAAtQ1gBgAcoaACxAWQOABVp8wVxJamho0Pz58/XPf/5TXbp00Ysvvqjbb7892NkAAP+vVSvr3bt36/Lly9q8ebOmTZumZcuWBTsXAOBLWlXWHo9H9913nyQpMTFRH3zwQVBDAQCu5DDGmJbuNGfOHI0aNUpDhw6VJA0bNky7d+9Wp07/Pari8XiClxIAOpDBgwdfta1Vx6xjYmLk8/kabzc0NFxR1Nf6ZgCA1mnVYZBBgwaptLRUknTgwAHdddddQQ0FALhSqw6D/OdskI8++kjGGC1ZskT9+/cPRT4AgFpZ1mh727Zt0+HDhzV9+vTGbSNGjNDOnTvVtWvXMCbD/6qtrdXo0aO1Z8+exm3FxcWqrKzUD3/4wzAmw3/U1dXpmWee0ZEjR+R0OpWYmKj8/Pxwx7quVh2zBgCbnT17Vj6fT9OnT9eHH36onJyccEcKKCLLurq6WnPmzFFVVZXOnj2rrKws3XnnnfrFL34hY4x8Pp9eeukl9evXL9xRW+TAgQOaOHGiqqurG1doubm5OnnypHr16qX8/Hx169YtzCmbp6amRrNmzdKpU6fk9/s1b948vfbaa1fc/ta3vhXumM32n//4Fy5cUN++fSVJ+/fv15IlS+RyuRQdHa3ExMTwhmwhv9+vvLw8HTt2TA0NDXK73XI4HFq1apWio6PVp08fLVy4UJ07dw531BbLy8vTwYMHtWbNGtXW1qpv377KysoKd6zrMxHogw8+MH/605+MMcacPn3ajBw50hQVFZnTp08bY4xZs2aNWb16dTgjttjWrVvNpEmTTENDg6msrDTDhw83Q4cONe+++64xxpj8/HyzYcOG8IZsgfXr15sVK1YYY4w5cuRIk7dt8utf/9qsXLnSGGPMgQMHzPDhw81DDz1kDh8+bIwxJjc317zyyivhjNhiGzduNMuXLzfGGPPZZ5+ZBx980IwaNcpUVlYaY4xZtWqV2bx5czgjttqJEyfM448/brZu3dr4c9feReTK+tZbb9WGDRv05z//WTExMaqrq9PXvvY1LV68WN27d9eZM2c0aNCgcMdsscGDB8vhcKhXr17q0aOHqqqqGldrgwYN0jvvvBPegC1w+PBhpaWlSZLuuOOOq24//fTTYUzXckePHm1838HAgQPVqVMnVVZWNv72NmjQIB0/fjycEVvso48+ksfj0XvvvSdJunTpkiorK+V2uyV98dvRt7/97TAm7Fgi8oOcfvvb3yoxMVE/+9nP9MADD8gYo3nz5mnJkiVatmyZevfuLWPh31Xff/99SdK///1vXbx4UcYYeb1eSV/8yh0fHx/OeC3Sv3//xnlOnDihnTt3XnF72rRp4YzXYv3799eBAwckSQcPHmxcIBw6dEjSf187m8TFxWnMmDEqLCzUq6++qoceeki33XabVq9ercLCQk2ZMkVDhgwJd8wOIyJX1sOHD9eLL76oHTt2qEePHoqOjtbYsWP1xBNP6KabbtKtt96qs2fPhjtmi9XU1Oipp57SxYsXtXDhQs2fP1+FhYU6duyYvvGNb1hVcBMmTNDs2bP15JNPqr6+XmvWrFFxcXHj7dmzZ4c7YotkZmZqxowZyszMVFxcnDp37qyFCxdqxowZiomJkdPp1M033xzumC0yYcIEzZ07V08++aSqq6uVlZWlOXPmaPLkyTLGyOl0avny5eGO2WFw6h4AWCAiD4MAQKShrAHAApQ1AFiAsgYAC1DWAGAByhoALEBZA4AFKGsAsMD/ARJiDNeoifAwAAAAAElFTkSuQmCC"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ]
}